Lesson 1265 of 2116
Detecting Comment Rot with an LLM Code Reviewer
Use an LLM to flag comments that no longer match the code they describe.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2comment-rot
- 3documentation-drift
- 4code-review
Concept cluster
Terms to connect while reading
Section 1
The premise
Stale comments mislead more than missing ones — an LLM is uniquely good at noticing when prose and code disagree.
What AI does well here
- Notice a comment that describes the wrong return type or wrong branch
- Flag TODOs that reference deleted modules or shipped features
- Suggest a corrected comment grounded in the current code
- Run as a non-blocking PR check that surfaces a list, not a wall
What AI cannot do
- Tell whether a TODO is still business-relevant
- Verify claims about external systems the code talks to
- Distinguish intentional historical notes from rot
Key terms in this lesson
End-of-lesson quiz
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